Index Catalog // ScholarsArchive@OSU

Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

Creator:: Behnoudfar, Ali
Abstract:: In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
Resource Type:: Masters Thesis
Full Text:: ] Rachel Bellamy, Kuntal Dey, Michael Hind, Samuel Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia

Counterfactual States for Atari Agents via Generative Deep Learning

Creator:: Olson, Matthew L.
Abstract:: Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
Resource Type:: Masters Thesis

Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

Creator:: Khodadadi, Abtin
Abstract:: Most database users do not know formal query languages, such as SQL, and prefer to express their information needs using usable query languages, such as keyword queries. Keyword queries, however, are inherently ambiguous and challenging for the database systems to understand and answer effectively. We propose a novel approach to...
Resource Type:: Capstone Project
Full Text:: Bibliography [1] Sameer Agarwal, Barzan Mozafari, Aurojit Panda, Henry Milner, Samuel Madden, and Ion Stoica

1/f noise of GaAs resistors on semi-insulating substrates, and 1/f noise due to temperature fluctuations in heat conduction

Creator:: Choi, Mun-Seork
Abstract:: This research work focuses on the mechanism of 1/f noise in GaAs resistors on semi-insulating substrates and 1/f noise due to temperature fluctuations in heat conduction in resistors, diodes, and bipolar transistors. The goal of this research is to generate accurate models to explain physical origin of 1/f noise in...
Resource Type:: Dissertation
Full Text:: helping me many times when I was in difficult situation. I also thank my two sons, Samuel Choi and

Re-understanding Finite-State Representations of Recurrent Policy Networks

Creator:: Danesh, Mohamad H.
Abstract:: We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
Resource Type:: Masters Thesis

Deep Segmentation in Plant Phenomics

Creator:: Kaur, Damanpreet
Abstract:: The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
Resource Type:: Masters Thesis

Improving and Understanding Deep Models for Natural Language Comprehension

Creator:: Ghaeini, Reza
Abstract:: Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will ﬁrst introduce several deep models...
Resource Type:: Dissertation

Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

Creator:: Alsulaimawi, Zahir Ahmed Hussein
Abstract:: Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...
Resource Type:: Dissertation

Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

Creator:: Ghadakchi, Vahid
Abstract:: Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
Resource Type:: Dissertation

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:: Alkaee Taleghan, Majid
Abstract:: This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...
Resource Type:: Dissertation

ScholarsArchive@OSU

Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

Counterfactual States for Atari Agents via Generative Deep Learning

Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

1/f noise of GaAs resistors on semi-insulating substrates, and 1/f noise due to temperature fluctuations in heat conduction

Re-understanding Finite-State Representations of Recurrent Policy Networks

Deep Segmentation in Plant Phenomics

Improving and Understanding Deep Models for Natural Language Comprehension

Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

Simulator-Defined MDP Planning with Applications in Natural Resource Management

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